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MacKeeper VS Matplotlib

Compare MacKeeper VS Matplotlib and see what are their differences

MacKeeper

The new MacKeeper app delivers multilayered protection from malware, online threats, and identity theft & Mac performance optimization. Learn what is MacKeeper.

Rating
0 reviews
Pricing
€5.92 / Monthly (Protect and optimize up to 3 household Macs for the whole year)
Alternatives Is it good?
Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Matplotlib seems to be a lot more popular than MacKeeper. While we know about 114 links to Matplotlib, we've tracked only 1 mention of MacKeeper.

social mentions
1 vs 114
Utilities popularity
100% vs 0%
alternatives listed
201 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

MacKeeper
Matplotlib
Website mackeeper.com matplotlib.org
Pricing
€5.92 / Monthly (Protect and optimize up to 3 household Macs for the whole year) Official pricing
Open source
Platforms
Mac OSX
—
Listed in
Utilities Monitoring Tools Data Cleansing Antivirus Security & Privacy Cleaning Services +3
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About MacKeeper and Matplotlib

In their own words, as submitted to SaaSHub.

MacKeeper
Matplotlib

MacKeeper: a forward-thinking app that will protect your Mac and enhance its productivity MacKeeper is an advanced multifunctional security app for Macs. It will protect your computer from viruses and malware, boost its productivity and make sure it always has enough free disk space. With this...

Read more about MacKeeper

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

MacKeeper 4 features
Matplotlib 6 features
  • Cleaning
  • Security
  • Performance optimized
  • Privacy
  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis

An editorial look at what each product does well and who it suits.

MacKeeper
Matplotlib

Overall verdict

  • Opinions on MacKeeper are mixed. While some users appreciate the ease of use and all-in-one suite of utilities, others remain skeptical due to its historical reputation. Recent versions have shown improvements, but many users still prefer alternative solutions with more transparent track records.

Why this product is good

  • MacKeeper has been a controversial application for many years. Initially, it was criticized for aggressive marketing tactics and perceived security vulnerabilities. Over time, the company has made efforts to rebrand and improve their reputation, enhancing the software's functionality and security features. MacKeeper offers a range of tools meant to enhance system performance, privacy, and security.

Recommended for

    MacKeeper may be suitable for users who prefer a comprehensive, all-in-one solution for Mac optimization and security, and are comfortable with the company's past. However, it's important for users to research and weigh the pros and cons, and consider alternatives such as built-in macOS tools or other trusted third-party software.

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Videos

Walkthroughs and reviews on video.

MacKeeper 3 videos + Add
Matplotlib 1 video + Add

MacKeeper-Malware Or Valid Util?

More videos

  • - THE MACKEEPER RABBIT HOLE!?! - Virus Investigations 29
  • - STAY AWAY FROM “MACKEEPER”, HERE’S WHY!

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
MacKeeper
Matplotlib
100% 100%
Utilities
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
OS & Utilities
0% 0%
0% 0%
Technical Computing
100% 100%

User comments

Share your experience with using MacKeeper and Matplotlib. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

MacKeeper no reviews yet
Matplotlib no reviews yet
  • Best Apps Uninstaller for Mac in 2022
    www.macupdate.com · Apr 2022

    MacKeeper also includes antivirus monitoring, a VPN, and an ad blocker to bolster your online security. And yet despite its extensive feature set, it has a clean and simple to understand user interface that makes...

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

MacKeeper 1 mention
Matplotlib 114 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw... - Source: dev.to / 10 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 11 months ago

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Alternatives to MacKeeper and Matplotlib

When comparing MacKeeper and Matplotlib, you can also consider the following products.

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